@fehmiCirak (Principal Investigator) @Cambridge_Eng @Cambridge_Uni

United Kingdom
Joined January 2012
Two 2026 USACM Novel Methods TTA Seminars on Quantum Computing!
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👩‍💻Check out the release of our statFEM library on GitHub. We welcome feedback, questions, and suggestions! Thanks to @SP_Joes for setting it up! github.com/fcirak/statFEM
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📍New paper: “Neural parametric representations for thin-shell shape optimisation” by @XiaoXiao_CAM and @fehmiCirak. Just accepted for Engineering with Computers (40th Anniversary Special Issue). arxiv.org/abs/2604.06612
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📍If you’re attending wccm-eccomas2026.org, come along to the talks by @SP_Joes (quantum, Monday), Yiren Wang (quantum, Tuesday), @ekyvalens (quantum, Thursday), @Yaswanth_SaiJ (statFEM, Friday), and @fehmiCirak (statFEM, Friday). Looking forward to seeing you there!
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⚡️Preprint alert: “QAFE2: Quantum Accelerated Multiscale Finite Element Analysis” by Yiren Wang, Michael Ortiz, @fehmiCirak arxiv.org/pdf/2604.06130
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Preprint accepted in Computer Methods in Applied Mechanics and Engineering!
New Preprint: "A Quantum Spectral Method for Non-Periodic Boundary Value Problems", by @ekyvalens, Yiren Wang, @BurigedeL , Michael Ortiz and @fehmiCirak arxiv.org/abs/2511.11494
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Spring is here ...
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New Preprint: "A Quantum Spectral Method for Non-Periodic Boundary Value Problems", by @ekyvalens, Yiren Wang, @BurigedeL , Michael Ortiz and @fehmiCirak arxiv.org/abs/2511.11494
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Excited to welcome @YaswanthSai to the team as a postdoc! Yaswanth joins us from the University of Illinois Urbana-Champaign and will be focusing on Bayesian inference and PDEs with uncertain/imperfect boundaries.
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CSMLab in Cambridge retweeted
I am looking forward to attending ADMOS 2025 next week and giving a plenary lecture on "Learning from uncertain models and limited data for digital design and twinning." admos2025.cimne.com/plenary_…
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Congratulations to @Oguzhan021 for passing his PhD viva with minor corrections! 🎉🎊 Now, to finishing off the last paper.
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Please apply or share: Research Assistant/Associate in Computational Mechanics at University of Cambridge, focusing on computational methods for uncertain/imperfect geometries. Join our team! jobs.cam.ac.uk/job/50399/
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If you happen to be in Cambridge, don't miss Arnaud's seminar on Population-Based Inference in Mechanics. Friday 07 February 2025, 15:00-16:00 talks.cam.ac.uk/talk/index/2…
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